Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

By Hoang Nguyen, Xuan-Nam Bui. Natural Resources Research, 2018

187 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/b048fa6fa71b900cc8ce96f34566e1167b3c67bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. D. Tien Bui

In Mechanics of Materials

1. Mahdi Hasanipanah
2. Hadi Fattahi

Citations in the corpus

• Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO (2019, background): “Therefore, air blast may create some resonance effects, hence resulting in structural damages (Kuzu and Ergin 2005; Nguyen and Bui 2018).”
• Research on financial early warning of mining listed companies based on BP neural network model (2021, unknown): “Finally, according to the MSE minimum and model stability principle (Nguyen and Bui, 2019; Liu and Lei, 2018; Kanellopoulos and Wilkinson, 1997), hidden layer nodes-6 is selected as the number of hidden layer nodes in the model.”